Final Project
Cherie Yu, Qinyao Xia, Allison Jiang
4/22/2019
## OGR data source with driver: ESRI Shapefile
## Source: "C:\Users\Jiang\Documents\Columbia\General academics\SPRING 2019\Data Visualization\Group_D_Nutrition\Group_D_Nutrition\shp\cb_2013_us_state_20m.shp", layer: "cb_2013_us_state_20m"
## with 52 features
## It has 9 fields
## Integer64 fields read as doubles: ALAND AWATER##
## 2011 2012 2013 2014 2015 2016 2017
## 10192 4368 10248 4536 10584 4620 13860##
## 2011 2012 2013 2014 2015 2016 2017
## 10192 4368 10248 4536 10584 4620 13860##
## AK AL AR AZ CA CO CT DC DE FL GA GU HI IA ID
## 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 616 1092 1092 1092
## IL IN KS KY LA MA MD ME MI MN MO MS MT NC ND
## 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092
## NE NH NJ NM NV NY OH OK OR PA PR RI SC SD TN
## 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 672 1092 1092 1092 1092
## TX US UT VA VI VT WA WI WV WY
## 1092 1092 1092 1092 336 1092 1092 1092 1092 1092##
## Alabama Alaska Arizona
## 1092 1092 1092
## Arkansas California Colorado
## 1092 1092 1092
## Connecticut Delaware District of Columbia
## 1092 1092 1092
## Florida Georgia Guam
## 1092 1092 616
## Hawaii Idaho Illinois
## 1092 1092 1092
## Indiana Iowa Kansas
## 1092 1092 1092
## Kentucky Louisiana Maine
## 1092 1092 1092
## Maryland Massachusetts Michigan
## 1092 1092 1092
## Minnesota Mississippi Missouri
## 1092 1092 1092
## Montana National Nebraska
## 1092 1092 1092
## Nevada New Hampshire New Jersey
## 1092 1092 1092
## New Mexico New York North Carolina
## 1092 1092 1092
## North Dakota Ohio Oklahoma
## 1092 1092 1092
## Oregon Pennsylvania Puerto Rico
## 1092 1092 672
## Rhode Island South Carolina South Dakota
## 1092 1092 1092
## Tennessee Texas Utah
## 1092 1092 1092
## Vermont Virgin Islands Virginia
## 1092 336 1092
## Washington West Virginia Wisconsin
## 1092 1092 1092
## Wyoming
## 1092##
## Percent of adults aged 18 years and older who have an overweight classification
## 10500
## Percent of adults aged 18 years and older who have obesity
## 10500
## Percent of adults who achieve at least 150 minutes a week of moderate-intensity aerobic physical activity or 75 minutes a week of vigorous-intensity aerobic activity (or an equivalent combination)
## 5964
## Percent of adults who achieve at least 150 minutes a week of moderate-intensity aerobic physical activity or 75 minutes a week of vigorous-intensity aerobic physical activity and engage in muscle-strengthening activities on 2 or more days a week
## 5964
## Percent of adults who achieve at least 300 minutes a week of moderate-intensity aerobic physical activity or 150 minutes a week of vigorous-intensity aerobic activity (or an equivalent combination)
## 5964
## Percent of adults who engage in muscle-strengthening activities on 2 or more days a week
## 5964
## Percent of adults who engage in no leisure-time physical activity
## 10472
## Percent of adults who report consuming fruit less than one time daily
## 1540
## Percent of adults who report consuming vegetables less than one time daily
## 1540## [1] "YearStart" "YearEnd"
## [3] "LocationAbbr" "LocationDesc"
## [5] "Datasource" "Class"
## [7] "Topic" "Question"
## [9] "Data_Value_Unit" "Data_Value_Type"
## [11] "Data_Value" "Data_Value_Alt"
## [13] "Data_Value_Footnote_Symbol" "Data_Value_Footnote"
## [15] "Low_Confidence_Limit" "High_Confidence_Limit"
## [17] "Sample_Size" "Total"
## [19] "Age(years)" "Education"
## [21] "Gender" "Income"
## [23] "Race/Ethnicity" "GeoLocation"
## [25] "ClassID" "TopicID"
## [27] "QuestionID" "DataValueTypeID"
## [29] "LocationID" "StratificationCategory1"
## [31] "Stratification1" "StratificationCategoryId1"
## [33] "StratificationID1"Fast Food Data
Nutrition Data
over year line graph
State in 2014
Mapping fastfood restaurants
state obesity rates 2011
state obesity rates 2014obstate and distribution of Fastfood （2017）
maybe exercise frequecy matters?
